AeroDesign Aircraft Wing Optimization Using Genetic Algorithm

被引：0

作者：

Simoes Mondego Vilela, Renan de Lima ^{[1
]}

da Silva, Eduardo Costa ^{[1
]}

机构：

[1] Pontifical Catholic Univ Rio de Janeiro, Dept Elect Engn, Rio De Janeiro, Brazil

来源：

2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019) | 2019年

关键词：

genetic algorithm; optimization; aircraft design;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There is a whole range of collegiate competitions that present real industry challenges to engineering students in order to provide an opportunity to develop a project from the very beginning, evaluating the requirements and making decisions aiming the best performance in the competition. In particular, many AeroDesign competitions focus on enhancing payload capabilities and efficiency, challenges that are also present in most aeronautical industry projects. To solve this challenges, multidisciplinary optimizations are widely used, assembling knowledge from different areas of an aeronautical project including aerodynamics, performance, structural, stability, controllability, among others. This paper presents an evolutionary approach, based on genetic algorithms, to optimize the wing of an aircraft developed to compete on the advanced class of SAE Brazil AeroDesign 2019, including aerodynamics and performance analysis.

引用

页码：3147 / 3151

页数：5